I have always been passionate about technology, statistics, and math. As an economist, I also got involved with econometrics and developed an interest in finance and the stock market.
Since I graduated I had a couple of jobs in financial institutions, having worked at the Brazilian Development Bank for the last years. As a consequence, I started to realize the tremendous amount of data being processed daily.
This background combined with a craving for developing new skills naturally led me to dive deep into programming and into the field of Data Science.
Links:
- IBM Data Science Certificate Capstone - The Battle of Neighborhoods Vancouver: https://bit.ly/2YlGiDc
- Analyzing Vancouver Airbnb Data: https://bit.ly/3ew31TY
- Analyzing Violence in Rio de Janeiro: https://bit.ly/3egghMc
- A case study of Brazil's COVID-19 situation: https://bit.ly/37YBhVA
- Detecting fraudulent credit card operations with machine learning algorithms: https://bit.ly/2VCrU8W
- Web Scraping with Python using BeautifulSoup: https://bit.ly/2OvecR7
- Churn Prediction with Machine Learning: https://bit.ly/2DpWw7S
- Credit Risk Analysis with Machine Learning: https://bit.ly/3nNnuZh
- How to get started on Kaggle Competitions - Housing Prices Competition: https://bit.ly/32vOaF1
- Statistics #01 - Mean, Median, and Mode: https://bit.ly/3wvJafG
- Statistics #02 - Measuring and Visualizing the Spread of Data: https://bit.ly/3eyZ6HI
- Statistics #03 - Standard Deviation and Variance: https://bit.ly/3BPymwS
- Statistics #04 - Introduction to Probability: https://bit.ly/2UakfkM
- Boost your Data Analysis with Pandas: https://bit.ly/3B316ko